Snowflake is a cloud-based data warehousing platform that offers a scalable and secure way to store, manage, and analyze large amounts of data. Google Ads is a popular advertising platform that allows businesses to create targeted ad campaigns and track their performance. The article discusses three methods for syncing data from Snowflake to Google Ads: manual CSV upload, semi-automated sync using APIs, and fully automated sync using Census reverse ETL. The manual method involves exporting data from Snowflake, importing it into Google Ads, and creating a customer match user list. The semi-automated method uses APIs to export data from Snowflake and import it into Google Ads, but requires setting up API access and handling errors. The fully automated method using Census reverse ETL allows businesses to set up an automatic sync between Snowflake and Google Ads with minimal configuration and error handling. The article concludes that while the manual and semi-automated methods can be done manually, they require more effort and technical expertise, whereas the fully automated method using Census provides a faster and easier way to sync data between Snowflake and Google Ads.